Research
152d agoNew Benchmark Exposes Agent Safety Risks
Researchers have introduced BeSafe-Bench, a comprehensive evaluation framework that systematically tests behavioral safety risks in autonomous agents powered by multimodal models, including LMMs. By simulating real‑world web, mobile, and embodied interactions, the benchmark exposes hidden hazards that prior low‑fidelity tests missed.
The Signal
Its global adoption will help developers worldwide design safer, more reliable AI systems.